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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
BCL2L1 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.6
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
223.9
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
207.9
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
206.7
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
185.2
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
183.3
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
161.4
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
152.6
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
147.5
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
145.7
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
136.2
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
135.2
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
122.7
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
118.4
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
118.2
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
118.1
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
116.0
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
113.6
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
113.3
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
110.7
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
106.9
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
101.0
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
100.6
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
99.1
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
97.3
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
97.3
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
96.2
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
94.7
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
93.7
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
93.2
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
93.0
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
91.2
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
91.1
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
89.8
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
87.5
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
86.7
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
86.3
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
86.2
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
85.7
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
85.0
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
84.9
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
82.5
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
82.0
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
81.3
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
79.4
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
78.7
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
77.9
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
77.8
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
76.4
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
76.0
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
74.5
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
74.5
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
73.5
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
73.2
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
72.5
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
72.4
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
72.2
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
72.1
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
72.0
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
68.5
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
67.6
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
67.5
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
67.3
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
67.1
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
66.8
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
66.8
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
64.4
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
63.3
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
63.3
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
62.9
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
61.8
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
61.6
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
60.1
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
60.1
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
60.0
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
59.7
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
59.5
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
59.3
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
59.3
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
57.6
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
57.4
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
57.0
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
56.9
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
56.3
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
56.2
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
55.9
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
55.8
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
55.8
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
55.3
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
55.0
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
54.9
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
54.8
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
54.5
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
54.5
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
54.5
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
54.2
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
53.7
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
52.8
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
52.7
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
52.5
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
51.7
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
51.6
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
51.5
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
51.4
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
51.3
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
51.2
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
51.0
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
50.8
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
50.3
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
50.3
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
49.6
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
49.2
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
49.1
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
48.5
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
48.1
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
48.0
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
47.8
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
47.8
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
47.6
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
47.4
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
47.3
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
46.7
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
46.1
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
46.0
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
45.9
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
45.5
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
45.4
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
45.3
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
45.2
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
44.6
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
44.5
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
44.3
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
44.1
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
43.8
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
43.6
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
43.5
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
43.4
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
43.4
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
43.4
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
43.2
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
43.1
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
43.1
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
43.0
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
42.9
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
42.9
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
42.8
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
42.3
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
42.2
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
42.0
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
42.0
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
41.8
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
41.5
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
41.3
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
41.3
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
41.3
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
41.2
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
41.2
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
41.0
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
41.0
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
40.6
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
40.3
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
39.3
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
39.1
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
39.1
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
39.0
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
39.0
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
39.0
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
38.8
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
38.8
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
38.4
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
38.2
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
38.0
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
38.0
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
37.6
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
37.4
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
37.2
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
37.0
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
36.6
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
36.4
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
36.3
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
36.1
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
36.1
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
35.7
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
35.5
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
35.4
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
35.3
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
35.3
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
35.3
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
35.1
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
34.9
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
34.8
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
34.3
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
34.2
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
34.1
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
34.0
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
33.9
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
33.8
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
33.6
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
33.6
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
33.5
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
33.3
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
33.2
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
32.9
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
32.8
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
32.7
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
32.6
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
32.4
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
32.1
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
32.0
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
31.9
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
31.9
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
31.6
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
31.5
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
31.3
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
31.2
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
31.1
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
31.1
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
30.9
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
30.8
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
30.7
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
30.7
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
30.6
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
30.5
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
30.5
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
30.3
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
30.1
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
30.1
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
29.9
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
29.7
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
29.7
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
29.4
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
29.4
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
29.3
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
29.3
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
29.2
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
29.1
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
29.1
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
29.1
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
28.8
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
28.8
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
28.7
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
28.7
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
28.6
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
28.6
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
28.5
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
28.3
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
28.1
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
28.1
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
28.0
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
27.6
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
27.4
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
27.3
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
27.3
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
27.3
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
27.1
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
27.1
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
27.0
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
26.9
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
26.5
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
26.4
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
26.1
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
26.0
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
26.0
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
25.8
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
25.6
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
25.4
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
25.1
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
24.9
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
24.8
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
24.7
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
24.7
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
24.4
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
24.3
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
24.3
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
24.2
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
24.2
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
24.2
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
24.1
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
24.0
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
24.0
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
24.0
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
23.6
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
23.3
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
23.3
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
23.1
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
23.1
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
22.9
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
22.8
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
22.7
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
22.6
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
22.5
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
22.5
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
22.4
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
22.0
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
21.8
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
21.8
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
21.6
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
21.5
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
21.2
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
21.1
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
20.8
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
20.8
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
20.7
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
20.7
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
20.5
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
20.4
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
20.2
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
20.1
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
20.1
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
20.0
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
20.0
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
20.0
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
19.9
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
19.9
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
19.8
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
19.8
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
19.7
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
19.6
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
19.4
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
19.4
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
19.3
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
19.3
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
19.2
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
19.1
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
19.1
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
19.1
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
18.5
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
18.4
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
18.2
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
18.2
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
17.5
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
17.3
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
17.2
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
17.1
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
17.0
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
16.8
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
16.2
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
16.2
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
16.2
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
15.7
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
15.5
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
15.5
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
15.5
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
15.3
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
15.1
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
14.9
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
14.9
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
14.6
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
14.5
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
14.5
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
13.9
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
13.8
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
13.8
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
13.7
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
12.7
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
12.4
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
12.1
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
11.8
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
11.5
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
10.9
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
10.4
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
9.3
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
BCL2L1 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
50.6
Number of samples
231
Samples
Sample
Description
TPM
DO45299
0 years, female, NA, stage:1, alive, 1440 days
292.8
DO45305
0 years, male, NA, stage:4, alive, 300 days
193.3
DO23523
0 years, male, NA, stage:3, alive, 1080 days
175.8
DO45289
0 years, female, NA, stage:3, alive, 360 days
173.9
DO45209
0 years, male, NA, stage:4, alive, 1350 days
160.0
DO45301
0 years, male, NA, stage:2, dead, 1440 days
156.5
DO45303
0 years, female, NA, stage:3, alive, 990 days
144.8
DO45297
0 years, female, NA, stage:4, dead, 1260 days
130.5
DO45127
0 years, male, NA, stage:3, dead, 420 days
125.0
DO50802
0 years, male, NA, stage:2, alive, 930 days
124.8
DO45287
0 years, male, NA, stage:1, alive, 390 days
122.4
DO23529
0 years, male, NA, stage:4, alive, 930 days
120.2
DO45307
0 years, female, NA, stage:4, dead, 240 days
119.6
DO48681
0 years, male, NA, stage:2, alive, 900 days
118.0
DO45217
0 years, female, NA, stage:3, dead, 270 days
112.5
DO48751
0 years, male, NA, stage:2, dead, 480 days
111.5
DO45249
0 years, male, NA, stage:1, alive, 630 days
104.8
DO45092
0 years, male, NA, stage:4, dead, 1200 days
104.4
DO50825
0 years, male, NA, stage:2, alive, 390 days
102.5
DO45279
0 years, male, NA, stage:3, alive, 1290 days
101.8
DO45283
0 years, male, NA, stage:3, alive, 510 days
100.2
DO45285
0 years, male, NA, stage:3, alive, 480 days
98.1
DO23513
0 years, male, NA, stage:3, alive, 1200 days
95.7
DO45251
0 years, female, NA, stage:2, alive, 900 days
82.6
DO23511
0 years, female, NA, stage:3, dead, 180 days
80.4
DO45185
0 years, male, NA, stage:2, alive, 600 days
78.8
DO23534
0 years, male, NA, stage:2, alive, 840 days
78.4
DO23510
0 years, female, NA, stage:2, alive, 870 days
76.8
DO45189
0 years, female, NA, stage:2, alive, 1200 days
76.0
DO45231
0 years, male, NA, stage:2, alive, 930 days
72.9
DO48719
0 years, male, NA, stage:2, alive, 690 days
72.2
DO50855
0 years, male, NA, stage:2, alive, 570 days
71.4
DO23515
0 years, male, NA, stage:2, alive, 1230 days
70.7
DO50787
0 years, male, NA, stage:3, alive, 480 days
69.2
DO45113
0 years, male, NA, stage:3, alive, 1560 days
69.1
DO45277
0 years, male, NA, stage:3, alive, 600 days
67.8
DO50811
0 years, male, NA, stage:1, alive, 450 days
67.8
DO23549
0 years, male, NA, stage:3, alive, 990 days
67.7
DO45211
0 years, male, NA, stage:3, alive, 240 days
67.7
DO45131
0 years, male, NA, stage:4, dead, 360 days
67.6
DO48759
0 years, male, NA, stage:3, alive, 720 days
67.4
DO23547
0 years, male, NA, stage:1, alive, 1020 days
65.7
DO45119
0 years, male, NA, stage:3, dead, 510 days
65.0
DO23512
0 years, male, NA, stage:1, alive, 1260 days
64.6
DO23544
0 years, male, NA, stage:2, alive, 960 days
64.3
DO48723
0 years, male, NA, stage:1, alive, 600 days
63.7
DO23539
0 years, male, NA, stage:1, alive, 1110 days
63.7
DO23526
0 years, male, NA, stage:3, alive, 1050 days
63.5
DO45129
0 years, male, NA, stage:3, alive, 1470 days
63.2
DO45205
0 years, female, NA, stage:2, dead, 90 days
62.9
DO45183
0 years, female, NA, stage:2, dead, 570 days
61.4
DO23552
0 years, female, NA, stage:1, alive, 810 days
60.8
DO45239
0 years, male, NA, stage:2, alive, 870 days
59.4
DO48697
0 years, female, NA, stage:2, dead, 810 days
58.7
DO45139
0 years, male, NA, stage:3, alive, 1320 days
58.6
DO23516
0 years, male, NA, stage:3, dead, 20 days
58.4
DO45179
0 years, female, NA, stage:2, alive, 600 days
58.3
DO45207
0 years, male, NA, stage:1, alive, 1050 days
57.0
DO50778
0 years, male, NA, stage:4, alive, 630 days
56.6
DO50818
0 years, male, NA, stage:2, alive, 510 days
56.0
DO50840
0 years, male, NA, stage:2, alive, 330 days
55.9
DO45223
0 years, male, NA, stage:4, alive, 1020 days
55.7
DO45163
0 years, male, NA, stage:2, alive, 960 days
55.0
DO45253
0 years, male, NA, stage:2, alive, 870 days
54.9
DO23524
0 years, female, NA, stage:2, alive, 1050 days
54.8
DO50808
0 years, male, NA, stage:2, alive, 570 days
54.7
DO48695
0 years, male, NA, stage:2, alive, 720 days
54.3
DO45097
0 years, male, NA, stage:3, alive, 1620 days
54.1
DO45093
0 years, male, NA, stage:2, dead, 720 days
53.8
DO48679
0 years, male, NA, stage:2, alive, 1200 days
53.6
DO45275
0 years, male, NA, stage:3, dead, 10 days
53.5
DO45273
0 years, male, NA, stage:2, alive, 480 days
53.3
DO50813
0 years, male, NA, stage:2, alive, 420 days
53.2
DO45137
0 years, male, NA, stage:1, alive, 1320 days
53.2
DO23542
0 years, male, NA, stage:3, alive, 960 days
53.0
DO23540
0 years, male, NA, stage:1, alive, 750 days
52.7
DO45219
0 years, male, NA, stage:2, alive, 1080 days
52.4
DO50819
0 years, female, NA, stage:2, alive, 510 days
51.9
DO48672
0 years, male, NA, stage:2, alive, 450 days
51.5
DO23535
0 years, male, NA, stage:1, alive, 960 days
51.2
DO48736
0 years, female, NA, stage:1, alive, 600 days
51.0
DO45159
0 years, male, NA, stage:3, alive, 1470 days
50.7
DO48721
0 years, female, NA, stage:1, alive, 900 days
50.1
DO45255
0 years, male, NA, stage:3, alive, 720 days
49.9
DO48746
0 years, male, NA, stage:3, alive, 570 days
49.6
DO48715
0 years, female, NA, stage:2, dead, 690 days
49.4
DO48737
0 years, male, NA, stage:1, alive, 720 days
49.1
DO48757
0 years, female, NA, stage:3, alive, 480 days
48.8
DO50822
0 years, male, NA, stage:2, alive, 510 days
48.7
DO50839
0 years, female, NA, stage:3, alive, 330 days
48.4
DO50816
0 years, male, NA, stage:2, alive, 390 days
48.3
DO50793
0 years, male, NA, stage:4, alive, 540 days
47.9
DO45181
0 years, female, NA, stage:2, alive, 1200 days
47.3
DO50804
0 years, male, NA, stage:2, alive, 720 days
47.1
DO23530
0 years, male, NA, stage:4, dead, 180 days
46.9
DO45259
0 years, male, NA, stage:3, alive, 330 days
46.8
DO45227
0 years, female, NA, stage:2, alive, 1020 days
46.7
DO50789
0 years, female, NA, stage:2, alive, 570 days
46.4
DO50832
0 years, male, NA, stage:3, alive, 90 days
46.0
DO23525
0 years, male, NA, stage:4, alive, 1050 days
45.7
DO45145
0 years, male, NA, stage:3, dead, 60 days
45.6
DO48732
0 years, male, NA, stage:3, alive, 630 days
45.4
DO48730
0 years, female, NA, stage:2, alive, 630 days
45.2
DO50859
0 years, male, NA, stage:2, alive, 180 days
45.0
DO48700
0 years, female, NA, stage:2, alive, 810 days
45.0
DO45243
0 years, female, NA, stage:3, alive, 930 days
44.2
DO45245
0 years, female, NA, stage:2, dead, 240 days
43.3
DO45177
0 years, female, NA, stage:3, alive, 1260 days
43.1
DO50820
0 years, female, NA, stage:3, alive, 510 days
43.0
DO50783
0 years, male, NA, stage:3, alive, 480 days
42.5
DO45281
0 years, male, NA, stage:4, alive, 750 days
42.3
DO23532
0 years, female, NA, stage:1, alive, 960 days
42.3
DO45099
0 years, male, NA, stage:3, alive, 1590 days
41.6
DO45173
0 years, male, NA, stage:3, alive, 1170 days
41.3
DO48712
0 years, male, NA, stage:2, alive, 810 days
41.2
DO50806
0 years, male, NA, stage:4, alive, 540 days
40.8
DO45233
0 years, male, NA, stage:3, alive, 900 days
40.6
DO23518
0 years, male, NA, stage:2, alive, 1320 days
40.6
DO45203
0 years, female, NA, stage:2, alive, 1170 days
39.9
DO23519
0 years, male, NA, stage:3, alive, 630 days
39.8
DO48743
0 years, female, NA, stage:2, alive, 570 days
39.8
DO50809
0 years, male, NA, stage:3, dead, 720 days
39.2
DO48761
0 years, male, NA, stage:2, alive, 870 days
39.1
DO45155
0 years, male, NA, stage:2, alive, 2160 days
39.0
DO45133
0 years, male, NA, stage:3, dead, 660 days
38.8
DO45096
0 years, male, NA, stage:2, dead, 1290 days
38.7
DO45267
0 years, male, NA, stage:3, dead, 570 days
38.4
DO48728
0 years, female, NA, stage:2, alive, 150 days
38.3
DO48742
0 years, male, NA, stage:2, alive, 600 days
38.2
DO45263
0 years, male, NA, stage:3, dead, 270 days
38.0
DO45175
0 years, male, NA, stage:2, alive, 1140 days
37.8
DO45201
0 years, male, NA, stage:1, alive, 900 days
37.7
DO50776
0 years, male, NA, stage:1, alive, 690 days
37.3
DO45153
0 years, female, NA, stage:2, alive, 1380 days
37.2
DO45195
0 years, male, NA, stage:1, alive, 390 days
36.9
DO45135
0 years, male, NA, stage:1, alive, 1410 days
36.3
DO45213
0 years, male, NA, stage:1, alive, 1200 days
36.3
DO50857
0 years, male, NA, stage:2, alive, 210 days
35.8
DO45095
0 years, male, NA, stage:2, alive, 1620 days
35.5
DO50805
0 years, male, NA, stage:2, alive, 690 days
35.3
DO45215
0 years, male, NA, stage:2, alive, 1170 days
35.2
DO45265
0 years, male, NA, stage:3, alive, 1020 days
35.0
DO45157
0 years, male, NA, stage:2, alive, 1980 days
35.0
DO23514
0 years, male, NA, stage:2, alive, 1290 days
34.8
DO45169
0 years, male, NA, stage:3, alive, 1350 days
34.8
DO50829
0 years, male, NA, stage:3, alive, 570 days
34.7
DO48717
0 years, male, NA, stage:4, dead, 180 days
34.5
DO48716
0 years, male, NA, stage:2, alive, 720 days
34.3
DO45171
0 years, male, NA, stage:3, alive, 600 days
34.2
DO48720
0 years, female, NA, stage:2, alive, 570 days
33.8
DO45103
0 years, male, NA, stage:3, alive, 450 days
33.8
DO48693
0 years, male, NA, stage:2, alive, 900 days
33.6
DO45269
0 years, male, NA, stage:3, alive, 750 days
33.6
DO45197
0 years, male, NA, stage:2, alive, 1170 days
33.5
DO50850
0 years, male, NA, stage:3, alive, 720 days
33.4
DO45165
0 years, male, NA, stage:2, alive, 690 days
33.3
DO23548
0 years, female, NA, stage:1, alive, 840 days
33.2
DO45115
0 years, male, NA, stage:2, alive, 840 days
33.1
DO45121
0 years, male, NA, stage:3, alive, 1530 days
32.7
DO45107
0 years, female, NA, stage:2, alive, 1710 days
32.7
DO45105
0 years, male, NA, stage:1, alive, 1680 days
32.6
DO48677
0 years, male, NA, stage:3, alive, 1140 days
32.4
DO45221
0 years, female, NA, stage:4, dead, 390 days
32.4
DO50814
0 years, male, NA, stage:3, alive, 420 days
32.3
DO50800
0 years, male, NA, stage:2, alive, 510 days
32.1
DO48725
0 years, male, NA, stage:1, alive, 780 days
31.7
DO23538
0 years, male, NA, stage:2, alive, 450 days
31.5
DO23527
0 years, male, NA, stage:1, alive, 1050 days
31.4
DO45187
0 years, female, NA, stage:1, alive, 1260 days
31.3
DO23533
0 years, male, NA, stage:2, alive, 900 days
30.9
DO48701
0 years, male, NA, stage:2, alive, 780 days
30.8
DO45235
0 years, female, NA, stage:1, alive, 900 days
30.5
DO48706
0 years, male, NA, stage:2, alive, 870 days
30.4
DO23528
0 years, female, NA, stage:2, alive, 1020 days
30.3
DO23545
0 years, male, NA, stage:2, dead, 570 days
30.2
DO45229
0 years, male, NA, stage:1, alive, 990 days
29.6
DO45141
0 years, male, NA, stage:2, alive, 1320 days
29.5
DO23521
0 years, male, NA, stage:3, alive, 1110 days
29.4
DO227801
0 years, female, NA, stage:1, alive, 660 days
29.2
DO45117
0 years, female, NA, stage:2, dead, 1110 days
29.1
DO23536
0 years, male, NA, stage:2, alive, 930 days
29.1
DO45101
0 years, male, NA, stage:2, alive, 1680 days
29.1
DO45225
0 years, male, NA, stage:1, alive, 1050 days
28.5
DO45111
0 years, male, NA, stage:2, alive, 1590 days
28.4
DO50807
0 years, male, NA, stage:1, alive, 540 days
28.4
DO50817
0 years, male, NA, stage:2, alive, 390 days
28.3
DO23509
0 years, male, NA, stage:3, dead, 780 days
28.3
DO45247
0 years, female, NA, stage:2, alive, 210 days
28.2
DO45257
0 years, male, NA, stage:3, alive, 810 days
28.2
DO50774
0 years, female, NA, stage:2, alive, 720 days
27.9
DO48747
0 years, male, NA, stage:3, alive, 540 days
27.5
DO23541
0 years, male, NA, stage:2, alive, 930 days
27.4
DO23543
0 years, male, NA, stage:2, alive, 1020 days
27.3
DO45199
0 years, female, NA, stage:2, alive, 1350 days
26.8
DO45261
0 years, male, NA, stage:3, alive, 990 days
26.8
DO45143
0 years, male, NA, stage:3, alive, 1290 days
26.7
DO48733
0 years, male, NA, stage:2, alive, 600 days
26.5
DO45241
0 years, male, NA, stage:1, alive, 1080 days
26.1
DO48760
0 years, female, NA, stage:2, alive, 690 days
25.9
DO45191
0 years, female, NA, stage:2, alive, 1200 days
25.9
DO48727
0 years, female, NA, stage:2, dead, 390 days
25.7
DO50785
0 years, male, NA, stage:4, dead, 90 days
25.4
DO50803
0 years, female, NA, stage:1, alive, 540 days
25.0
DO50844
0 years, male, NA, stage:4, alive, 300 days
24.9
DO45167
0 years, male, NA, stage:2, dead, 1440 days
24.8
DO45091
0 years, male, NA, stage:2, dead, 1320 days
24.4
DO45094
0 years, male, NA, stage:3, alive, 1650 days
24.3
DO45161
0 years, male, NA, stage:2, dead, 540 days
23.4
DO45109
0 years, male, NA, stage:2, alive, 1590 days
23.3
DO50845
0 years, male, NA, stage:3, alive, 210 days
23.3
DO50815
0 years, male, NA, stage:3, alive, 150 days
22.7
DO45125
0 years, male, NA, stage:3, alive, 1680 days
22.5
DO23551
0 years, male, NA, stage:3, dead, 150 days
22.4
DO227643
0 years, male, NA, stage:2, alive, 1260 days
22.3
DO45193
0 years, female, NA, stage:4, dead, 120 days
21.8
DO48682
0 years, female, NA, stage:3, dead, 120 days
21.3
DO50791
0 years, female, NA, stage:1, dead, 480 days
21.3
DO23537
0 years, male, NA, stage:2, dead, 900 days
21.0
DO50798
0 years, male, NA, stage:3, dead, 30 days
20.5
DO23546
0 years, male, NA, stage:2, alive, 1050 days
20.5
DO48704
0 years, female, NA, stage:3, alive, 750 days
19.4
DO48674
0 years, male, NA, stage:2, alive, 1260 days
19.1
DO50799
0 years, female, NA, stage:2, alive, 540 days
18.6
DO23508
0 years, female, NA, stage:2, alive, 390 days
18.5
DO48741
0 years, male, NA, stage:3, alive, 240 days
18.4
DO45149
0 years, female, NA, stage:2, alive, 1260 days
17.4
DO45237
0 years, male, NA, stage:2, alive, 900 days
17.3
DO23550
0 years, male, NA, stage:1, alive, 990 days
16.5
DO23517
0 years, male, NA, stage:2, alive, 1200 days
16.2
DO23531
0 years, female, NA, stage:3, alive, 900 days
15.0
DO45123
0 years, female, NA, stage:2, dead, 570 days
14.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
911
Tumor
1.2
261
Tumor
1.1
1041
Tumor
1.0
685
Tumor
0.9
741
Tumor
0.8
171
Tumor
0.8
615
Tumor
0.8
715
Tumor
0.8
483
Tumor
0.7
513
Tumor
0.7
861
Tumor
0.7
231
Tumor
0.7
123
Tumor
0.7
451
Tumor
0.6
1015
Tumor
0.6
867
Tumor
0.5
915
Tumor
0.5
627
Tumor
0.5
977
Tumor
0.5
465
Tumor
0.5
635
Tumor
0.5
785
Tumor
0.5
665
Tumor
0.5
445
Tumor
0.4
127
Tumor
0.4
671
Tumor
0.4
285
Tumor
0.4
125
Tumor
0.4
1013
Tumor
0.4
925
Tumor
0.4
981
Tumor
0.4
737
Tumor
0.4
515
Tumor
0.3
137
Tumor
0.3
1027
Tumor
0.3
955
Tumor
0.3
341
Tumor
0.3
616
Normal
0.3
435
Tumor
0.3
618
Normal
0.3
851
Tumor
0.3
944
Normal
0.3
641
Tumor
0.3
431
Tumor
0.3
491
Tumor
0.3
642
Normal
0.3
628
Normal
0.3
557
Tumor
0.3
852
Normal
0.2
412
Normal
0.2
443
Tumor
0.2
567
Tumor
0.2
863
Tumor
0.2
436
Normal
0.2
666
Normal
0.2
462
Normal
0.2
617
Tumor
0.2
395
Tumor
0.2
484
Normal
0.2
477
Tumor
0.2
636
Normal
0.2
572
Normal
0.2
664
Normal
0.2
917
Tumor
0.2
647
Tumor
0.2
878
Normal
0.2
492
Normal
0.2
514
Normal
0.2
815
Tumor
0.2
755
Tumor
0.2
534
Normal
0.2
865
Tumor
0.2
444
Normal
0.2
648
Normal
0.2
862
Normal
0.2
1016
Normal
0.2
696
Normal
0.2
964
Normal
0.2
954
Normal
0.2
714
Normal
0.2
938
Normal
0.2
883
Tumor
0.1
446
Normal
0.1
423
Tumor
0.1
494
Normal
0.1
884
Normal
0.1
937
Tumor
0.1
284
Normal
0.1
286
Normal
0.1
422
Normal
0.1
1028
Normal
0.1
563
Tumor
0.1
487
Tumor
0.1
432
Normal
0.1
1045
Tumor
0.1
814
Normal
0.1
914
Normal
0.1
271
Tumor
0.1
912
Normal
0.1
433
Tumor
0.1
111
Normal
0.1
112
Tumor
0.1
481
Tumor
0.1
868
Normal
0.1
356
Normal
0.1
466
Normal
0.1
723
Tumor
0.1
963
Tumor
0.1
686
Normal
0.1
135
Tumor
0.1
716
Normal
0.1
742
Normal
0.1
786
Normal
0.1
421
Tumor
0.1
922
Normal
0.1
221
Tumor
0.1
456
Normal
0.1
956
Normal
0.1
528
Normal
0.1
434
Normal
0.1
526
Normal
0.1
882
Normal
0.1
918
Normal
0.1
228
Normal
0.1
568
Normal
0.1
363
Tumor
0.1
746
Normal
0.1
448
Normal
0.0
976
Normal
0.0
824
Normal
0.0
916
Normal
0.0
881
Tumor
0.0
662
Normal
0.0
926
Normal
0.0
473
Tumor
0.0
564
Normal
0.0
874
Normal
0.0
478
Normal
0.0
966
Normal
0.0
518
Normal
0.0
452
Normal
0.0
913
Tumor
0.0
816
Normal
0.0
745
Tumor
0.0
866
Normal
0.0
464
Normal
0.0
471
Tumor
0.0
468
Normal
0.0
975
Tumor
0.0
738
Normal
0.0
361
Tumor
0.0
145
Tumor
0.0
126
Normal
0.0
864
Normal
0.0
311
Tumor
0.0
268
Normal
0.0
982
Normal
0.0
128
Normal
0.0
858
Normal
0.0
262
Normal
0.0
818
Normal
0.0
258
Normal
0.0
455
Tumor
0.0
921
Tumor
0.0
272
Normal
0.0
232
Normal
0.0
482
Normal
0.0
558
Normal
0.0
142
Normal
0.0
1046
Normal
0.0
873
Tumor
0.0
813
Tumor
0.0
488
Normal
0.0
447
Tumor
0.0
698
Normal
0.0
224
Normal
0.0
516
Normal
0.0
222
Normal
0.0
722
Normal
0.0
756
Normal
0.0
162
Normal
0.0
574
Normal
0.0
721
Tumor
0.0
416
Normal
0.0
958
Normal
-0.1
414
Normal
-0.1
943
Tumor
-0.1
413
Tumor
-0.1
415
Tumor
-0.1
191
Tumor
-0.1
978
Normal
-0.1
278
Normal
-0.1
131
Tumor
-0.1
342
Normal
-0.1
1022
Normal
-0.1
727
Tumor
-0.1
877
Tumor
-0.1
132
Normal
-0.1
385
Tumor
-0.1
474
Normal
-0.1
1014
Normal
-0.1
952
Normal
-0.1
217
Tumor
-0.1
924
Normal
-0.1
188
Normal
-0.1
424
Normal
-0.1
148
Normal
-0.1
196
Normal
-0.1
461
Tumor
-0.1
358
Normal
-0.1
365
Tumor
-0.1
546
Normal
-0.1
498
Normal
-0.1
1042
Normal
-0.1
472
Normal
-0.1
147
Tumor
-0.1
728
Normal
-0.1
353
Tumor
-0.1
213
Tumor
-0.1
257
Tumor
-0.1
314
Normal
-0.1
298
Normal
-0.1
426
Normal
-0.1
984
Normal
-0.1
857
Tumor
-0.1
388
Normal
-0.1
332
Normal
-0.1
524
Normal
-0.1
428
Normal
-0.2
517
Tumor
-0.2
114
Normal
-0.2
1021
Tumor
-0.2
328
Normal
-0.2
1032
Normal
-0.2
297
Tumor
-0.2
172
Normal
-0.2
968
Normal
-0.2
331
Tumor
-0.2
493
Tumor
-0.2
533
Tumor
-0.2
527
Tumor
-0.2
138
Normal
-0.2
136
Normal
-0.2
375
Tumor
-0.2
537
Tumor
-0.2
1026
Normal
-0.2
186
Normal
-0.2
364
Normal
-0.2
778
Normal
-0.2
267
Tumor
-0.2
161
Tumor
-0.2
554
Normal
-0.2
1044
Normal
-0.2
124
Normal
-0.2
411
Tumor
-0.2
425
Tumor
-0.2
185
Tumor
-0.2
536
Normal
-0.2
366
Normal
-0.3
187
Tumor
-0.3
195
Tumor
-0.3
672
Normal
-0.3
354
Normal
-0.3
538
Normal
-0.3
777
Tumor
-0.3
214
Normal
-0.3
823
Tumor
-0.3
362
Normal
-0.3
352
Normal
-0.3
724
Normal
-0.3
351
Tumor
-0.3
212
Normal
-0.3
392
Normal
-0.3
743
Tumor
-0.3
312
Normal
-0.3
497
Tumor
-0.3
713
Tumor
-0.3
923
Tumor
-0.3
313
Tumor
-0.3
953
Tumor
-0.3
384
Normal
-0.3
218
Normal
-0.3
146
Normal
-0.4
1043
Tumor
-0.4
396
Normal
-0.4
344
Normal
-0.4
663
Tumor
-0.4
386
Normal
-0.4
192
Normal
-0.4
355
Tumor
-0.4
327
Tumor
-0.4
368
Normal
-0.4
376
Normal
-0.4
817
Tumor
-0.4
744
Normal
-0.4
553
Tumor
-0.4
965
Tumor
-0.4
277
Tumor
-0.4
141
Tumor
-0.4
223
Tumor
-0.5
957
Tumor
-0.5
394
Normal
-0.5
383
Tumor
-0.5
525
Tumor
-0.5
1031
Tumor
-0.5
1025
Tumor
-0.5
227
Tumor
-0.6
571
Tumor
-0.6
113
Tumor
-0.6
387
Tumor
-0.6
545
Tumor
-0.6
967
Tumor
-0.6
535
Tumor
-0.7
573
Tumor
-0.7
695
Tumor
-0.7
983
Tumor
-0.7
357
Tumor
-0.7
463
Tumor
-0.7
523
Tumor
-0.7
283
Tumor
-0.8
211
Tumor
-0.8
661
Tumor
-0.8
427
Tumor
-0.9
697
Tumor
-0.9
367
Tumor
-0.9
467
Tumor
-0.9
343
Tumor
-1.0
391
Tumor
-1.0
393
Tumor
-1.0
951
Tumor
-1.2
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
